Xinqi Bao

I am a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, working on the XMLD – Explainable Machine Learning based Medication Repurposing for Dementia project. My current research focuses on applying explainable machine learning (XML) techniques to analyze electronic health records and predict treatment outcomes for dementia patients. The project, in collaboration with Karolinska Institute and Karolinska University Hospital, aims to enhance clinical decision-making by improving medication selection and identifying potential drug repurposing opportunities.

Prior to joining KTH, I obtained the PhD in Biomedical Engineering from King’s College London (KCL), where I specialized in biosensors, biomedical signal processing, and machine learning for healthcare. After my PhD, I worked as Postdoctoral Research Associate at KCL and later at the BathInstitute for Augmented Human (IAH). My research experience spans wearable medical device,  biomedical signal acquisition and analysis, prosthesis control, neurotechnology, and deep learning-based medical data processing.

I am particularly fascinated by bringing cyberpunk-inspired technologies into reality, drawing inspiration from Ghost in the Shell—including biomechatronic prosthetics, brain-machine interfaces, and cyborg augmentation. If you share similar research interests, or if you’d like to discuss potential collaborations related to my current or past research projects, feel free to reach out!